Study on microstructural evolution of near-net shape forging process of AA6082 wheel–Dynamic recrystallization and processing map analysis
IE Saputro, CN Lin, I Mardiono, HF Chen… - Journal of Manufacturing …, 2024 - Elsevier
The hot deformation behavior of AA6082 was investigated through isothermal compression
tests performed within a temperature range of 350° C to 560° C and a strain rate range of …
tests performed within a temperature range of 350° C to 560° C and a strain rate range of …
Flow stress behaviour prediction of 92W-5Co-3Ni alloy using various machine learning models
S Poluru, V Ananth, N Kotkunde, SK Singh… - Advances in Materials …, 2024 - Taylor & Francis
The flow stress prediction of the 92W-5Co-3Ni alloy is performed using Machine Learning
models like Artificial Neural Networks (ANN), Random Forest (RF) and Deep Neural …
models like Artificial Neural Networks (ANN), Random Forest (RF) and Deep Neural …
CuZn40Pb2 brass hot deformation behaviour modelling using Hansel Spittel constitutive model
S Hammami, JG La Barbera-Sosa… - Advances in Materials …, 2024 - Taylor & Francis
Due to its popularity in the industry, brass is an important material to model as it can lead to
time and cost savings. The hot deformation behaviour of CuZn40Pb2 brass was performed …
time and cost savings. The hot deformation behaviour of CuZn40Pb2 brass was performed …
[HTML][HTML] Property prediction of AZ80 magnesium alloy: an extreme learning machine model optimized by a new improved sparrow search algorithm
P Zhang, J Zhang, J Fu, W Guo, D Zhao… - Matéria (Rio de …, 2024 - SciELO Brasil
The mechanical properties of magnesium alloy in different molding stages are very
important factors to determine its application approaches in engineering. In order to ensure …
important factors to determine its application approaches in engineering. In order to ensure …